Popular Articles

The XebiaLabs DevOps Platform provides visibility and synchronizes data across the CI/CD pipeline by connecting issue tracking and ITSM ticketing tools, so that user stories and change tickets are always up to date.

Subscribe for more!

A few days back, I discovered a new Docker feature—multi-stage builds. The multi-stage build feature helps you create thin Docker images by making it possible to divide the image building process into multiple stages. Artifacts produced in one stage can be reused by another stage. This is very beneficial for languages like Java as multiple steps are required to build the Docker image. The main advantage of the multi-stage build feature is that it can help you create smaller size images. This feature is not yet available in stable versions of Docker. It will become available in Docker 17.05. To use this feature, you have to use the edge version of Docker CE.

To build a Docker image for a Java application, you first need to build the Java project. Java build process needs JDK and a build tool like Maven, Gradle, or Ant. Once a Java binary artifact is produded, you can package the binary in a Docker image. For running a Java binary, you only need JRE, so you don’t have to pay the cost of bundling the whole JDK.

One of the ways people have handled the multiple staging builds is by using the Builder pattern. This pattern requires you to have two Dockerfile files — Dockerfile and Dockerfile_build. The Dockerfile_build file will be used to build the Java binary, and Dockerfile will be used to create the final runtime image. Below is the content of the Dockerfile_build file for a Spring Boot Gradle project.

The above Dockerfile first downloads all the dependencies and then builds the project. Please note that we are copying source code after downloading the dependencies. This allows Docker to reuse the layer that downloaded Gradle dependencies. We will be changing the source code more often so we have kept it later in the Dockerfile.

To create the Java artifact, we will first build a Docker image and then create the container using the commands mentioned below.

Docker Multi-build Feature to the Rescue

With multi-stage builds, a Dockerfile can contain multiple FROM directives. The last FROM directive output is the resultant image. So, now you have to maintain a single Dockerfile that will build the Java artifact in the first stage and then create the final image in the second stage using the artifact produced in the first stage.

We have two FROM commands. FROM command can also take an alias name so that you can reference the name later. If you don’t provide an alias, then you can refer using the index starting from 0. There can be more than two stages. The example above uses two stages.

The first FROM command uses openjdk:8 image as the base image as it needs to build the project. The second FROM command uses openjdk:8-jre as it needs to run the binary.

We used the from option of COPY command to copy the artifact produced by first image into the second image. The from option can either use the alias name that you can mention with FROM command or it can be an index starting from 0. For example, if we remove AS BUILD_IMAGE in the first FROM command then we can write COPY command as COPY –from=0 /root/dev/myapp/build/libs/myapp.jar .

To build the image and run the application, you can use standard commands as shown below.

$ docker build -t myapp .
$ docker run -d -p 8080:8080 myapp

The size of the image is drastically small compared to the image used for building the Java binary as shown below.

Shekhar Gulati is a polyglot programmer and technology evangelist for XebiaLabs.

The Reality of Software Releases

Many organizations model software delivery as if the features that are initially planned for a release are always the features that are actually delivered to production when the release is done. But the reality of software releases is more complicated than that, because it’s hard to predict the delivery of planned features. The XebiaLabs DevOps Platform can help you deal with the reality of software releases. See for yourself!

Start Your Trial

The XebiaLabs DevOps Platform provides the intelligence, automation, and control that technical and business teams need.